EEG-based Person Recognition: Analysis and criticism

被引：6

作者：

Boubakeur, Meriem Romaissa ^{[1
]}

Wang, Guoyin ^{[1
]}

Zhang, Chenglin ^{[1
]}

Liu, Ke ^{[1
]}

机构：

[1] Chongqing Univ Posts & Telecommun, Chongqing Key Lab Computat Intelligence, Chongqing, Peoples R China

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON BIG KNOWLEDGE (IEEE ICBK 2017) | 2017年

基金：

中国国家自然科学基金;

关键词：

biometrics; EEG; identification; authentication; SIGNALS;

D O I：

10.1109/ICBK.2017.54

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In recent years, researchers give a large interest to automatic person recognition using electroencephalogram (EEG). This paper is an overview on EEG biometrics. It reviews some recent research contributions over last years and discusses the challenges facing EEG-based person recognition systems. Finally, we draw our expectations for the future of EEG-based biometrics especially with the emergence of BCI applications and the development of Internet of Thing.

引用

页码：155 / 160

页数：6

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